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junrushao pushed a change to branch main
in repository https://gitbox.apache.org/repos/asf/tvm.git.
from d6d6367 Fix typos (#8787)
add 0a1eae8 [TensorIR][M2a] Reorder (#8767)
No new revisions were added by this
junrushao1994 commented on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903456217
Thanks @jinhongyii for your patience and @MasterJH5574 for helping with code
review!
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junrushao1994 merged pull request #8767:
URL: https://github.com/apache/tvm/pull/8767
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masahi commented on pull request #8781:
URL: https://github.com/apache/tvm/pull/8781#issuecomment-903414959
@vvchernov Please add PyTorch GRU tests.
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masahi commented on a change in pull request #8781:
URL: https://github.com/apache/tvm/pull/8781#discussion_r693628271
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File path: python/tvm/relay/frontend/common.py
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@@ -658,6 +658,92 @@ def unbind(data, axis=0):
return _expr.TupleWrapper(_expr.Tuple(ret),
masahi commented on a change in pull request #8781:
URL: https://github.com/apache/tvm/pull/8781#discussion_r693628005
##
File path: python/tvm/relay/frontend/common.py
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@@ -658,6 +658,92 @@ def unbind(data, axis=0):
return _expr.TupleWrapper(_expr.Tuple(ret),
masahi commented on a change in pull request #8781:
URL: https://github.com/apache/tvm/pull/8781#discussion_r693628005
##
File path: python/tvm/relay/frontend/common.py
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@@ -658,6 +658,92 @@ def unbind(data, axis=0):
return _expr.TupleWrapper(_expr.Tuple(ret),
masahi commented on a change in pull request #8781:
URL: https://github.com/apache/tvm/pull/8781#discussion_r693627752
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File path: python/tvm/relay/frontend/common.py
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@@ -658,6 +658,92 @@ def unbind(data, axis=0):
return _expr.TupleWrapper(_expr.Tuple(ret),
tmoreau89 commented on pull request #32:
URL: https://github.com/apache/tvm-vta/pull/32#issuecomment-903379745
#34 was just merged, @aasorokiin please rebase
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tmoreau89 merged pull request #34:
URL: https://github.com/apache/tvm-vta/pull/34
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moreau pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/tvm-vta.git
The following commit(s) were added to refs/heads/main by this push:
new 981bf2f fix types (#34)
981bf2f is described
vegaluisjose commented on pull request #32:
URL: https://github.com/apache/tvm-vta/pull/32#issuecomment-903322080
I think I found the issue of the new chisel version, I just submitted #34
that should fix it.
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vegaluisjose commented on a change in pull request #8797:
URL: https://github.com/apache/tvm/pull/8797#discussion_r693548857
##
File path: cmake/modules/VTA.cmake
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@@ -73,15 +73,30 @@ elseif(PYTHON)
# Cycle accurate simulator driver build
if(USE_VTA_TSIM)
+if(NOT
vegaluisjose opened a new pull request #34:
URL: https://github.com/apache/tvm-vta/pull/34
The following fixes building simulation files for the new chisel version
update done in #33
@tmoreau89 @ekiwi
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aasorokiin commented on a change in pull request #8797:
URL: https://github.com/apache/tvm/pull/8797#discussion_r693547334
##
File path: cmake/modules/VTA.cmake
##
@@ -73,15 +73,30 @@ elseif(PYTHON)
# Cycle accurate simulator driver build
if(USE_VTA_TSIM)
+if(NOT
aasorokiin commented on a change in pull request #8797:
URL: https://github.com/apache/tvm/pull/8797#discussion_r693547334
##
File path: cmake/modules/VTA.cmake
##
@@ -73,15 +73,30 @@ elseif(PYTHON)
# Cycle accurate simulator driver build
if(USE_VTA_TSIM)
+if(NOT
MasterJH5574 commented on a change in pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#discussion_r693518027
##
File path: src/tir/schedule/primitive/loop_transformation.cc
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@@ -384,6 +510,182 @@ StmtSRef Fuse(ScheduleState self, const Array&
loop_srefs) {
vegaluisjose commented on a change in pull request #8797:
URL: https://github.com/apache/tvm/pull/8797#discussion_r693533655
##
File path: cmake/modules/VTA.cmake
##
@@ -73,15 +73,30 @@ elseif(PYTHON)
# Cycle accurate simulator driver build
if(USE_VTA_TSIM)
+if(NOT
MasterJH5574 commented on a change in pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#discussion_r693518237
##
File path: src/tir/schedule/primitive/loop_transformation.cc
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@@ -384,6 +510,182 @@ StmtSRef Fuse(ScheduleState self, const Array&
loop_srefs) {
jinhongyii commented on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903280843
@junrushao1994 I've separated the logic into several methods. You can review
again
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junrushao1994 edited a comment on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903229077
Thanks for the discussion. I would love to specifically put up a proposal on
re-organizing the spaghetti code for better readability, and prove it actually
practical
junrushao1994 edited a comment on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903229077
Thanks for the discussion. I would love to specifically put up a proposal on
re-organizing the spaghetti code for better readability, and prove it actually
practical
junrushao1994 edited a comment on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903229077
Thanks for the discussion. I would love to specifically put up a proposal on
re-organizing the spaghetti code for better readability, and prove it actually
practical
junrushao1994 commented on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903229077
Thanks for the discussion. I would love to specifically put up a proposal on
re-organizing the spaghetti code to better readability, and prove it actually
practical in our
junrushao1994 commented on a change in pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#discussion_r693459325
##
File path: src/tir/schedule/primitive/loop_transformation.cc
##
@@ -385,6 +511,122 @@ StmtSRef Fuse(ScheduleState self, const Array&
loop_srefs) {
jinhongyii commented on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903221680
@junrushao1994 I've fixed the nitpicks and you can review again.
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jinhongyii commented on pull request #8767:
URL: https://github.com/apache/tvm/pull/8767#issuecomment-903221636
there are some data structures that are used in every step of the overall
algorithm, and some steps have multiple outputs, so I think extracting the
steps into methods is
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